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Acoustic particle velocity measurements using laser : principles, signal processing and applications / / Jean-Christophe Valière
Acoustic particle velocity measurements using laser : principles, signal processing and applications / / Jean-Christophe Valière
Autore Valière Jean-Christophe
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE Ltd : , : John Wiley & Sons, , 2014
Descrizione fisica 1 online resource (157 p.)
Disciplina 534.42
Collana Focus Series
Soggetto topico Sound - Measurement
Electro-acoustics
ISBN 1-118-64933-8
1-118-64934-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Contents; Preface; Chapter 1. Summary Of Acoustic Equations; 1.1. Basic equations; 1.1.1. Fluid- and thermodynamics; 1.1.2. Hypothesis of linear acoustics without losses; 1.2. Acoustic equations; 1.2.1. Linear acoustic equations with sources; 1.2.2. Some remarks on acoustic sources; 1.2.3. Without sources; 1.2.4. Acoustic intensity and source power; 1.2.5. Acoustic impedance and border conditions; 1.3. Constants, units and magnitude orders of linear acoustics; 1.4. Acoustic velocity measurement and applications; 1.4.1. Velocity estimation from pressure gradient
1.4.2. Intensity estimation 1.4.3. Application to impedance estimation; 1.5. Beyond linear equations; 1.5.1. Acoustic equations with mean flow; 1.5.2. High acoustic displacement; 1.5.3. Acoustic streaming; 1.6. Bibliography; Chapter 2. Some Topics On Signal Processing; 2.1. Measurement signal; 2.1.1. Random signals; 2.1.2. Statistical averages; 2.1.3. Time averages; 2.1.4. Acoustic signal model; 2.2. Reminder of Fourier analysis tools; 2.2.1. Fourier transform; 2.2.2. Uniform sampling and recovery of signals; 2.2.3. Fourier transform of discrete signals; 2.2.4. Discrete Fourier transform
2.3. Correlations and spectra 2.3.1. Definitions; 2.3.2. Stationary and ergodic process; 2.3.3. Properties of correlation functions and examples; 2.3.4. PSD and cross-spectral density properties; 2.4. Basis of estimation theory; 2.4.1. Definition and properties of an estimation method; 2.4.2. Mean estimator; 2.4.3. Correlation estimators; 2.4.4. Spectrum estimators; 2.4.5. Spectrum estimator by synchronous detection approach; 2.5. Non-uniform sampling; 2.5.1. Poisson processes; 2.5.2. Empirical estimators; 2.5.3. Comparison of spectrum estimation of random sampling sequences; 2.6. Bibliography
2.7. Appendix 2.7.1. Properties of the Fourier transform; 2.7.2. Fourier transforms of typical functions; 2.7.3. Properties of the discrete Fourier transform (DFT); Chapter 3. Ldv For Acoustics; 3.1. Bases of LDV; 3.1.1. Optical principles; 3.1.2. Signal processing of burst analyses in the context of fluid mechanics; 3.2. Models for acoustics; 3.2.1. Model of the Doppler signal; 3.2.2. Model of the sampling in the context of acoustics; 3.2.3. Case of low acoustic displacement with few mean flows; 3.2.4. Case of high acoustic displacement with few mean flows; 3.2.5. Other cases
3.3. Estimation method for low acoustic displacement 3.3.1. Theoretical limitations; 3.3.2. Estimation methods based on IF detection; 3.3.3. Estimation based on parametrical models; 3.3.4. Simultaneous detection of flow velocity and small acoustic velocity; 3.3.5. Comparison between methods for low-level acoustics; 3.4. Estimation method for high displacement; 3.4.1. Experimental condition; 3.4.2. Theoretical limitations; 3.4.3. Estimation for SPP; 3.4.4. Estimation for highly NSPP; 3.5. Bibliography; Chapter 4. Piv For Acoustics; 4.1. Principle of PIV; 4.1.1. Setting up
4.1.2. Model of the 2D signal and image processing
Record Nr. UNINA-9910139118203321
Valière Jean-Christophe  
London, England ; ; Hoboken, New Jersey : , : ISTE Ltd : , : John Wiley & Sons, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Acoustic particle velocity measurements using laser : principles, signal processing and applications / / Jean-Christophe Valière
Acoustic particle velocity measurements using laser : principles, signal processing and applications / / Jean-Christophe Valière
Autore Valière Jean-Christophe
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE Ltd : , : John Wiley & Sons, , 2014
Descrizione fisica 1 online resource (157 p.)
Disciplina 534.42
Collana Focus Series
Soggetto topico Sound - Measurement
Electro-acoustics
ISBN 1-118-64933-8
1-118-64934-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Contents; Preface; Chapter 1. Summary Of Acoustic Equations; 1.1. Basic equations; 1.1.1. Fluid- and thermodynamics; 1.1.2. Hypothesis of linear acoustics without losses; 1.2. Acoustic equations; 1.2.1. Linear acoustic equations with sources; 1.2.2. Some remarks on acoustic sources; 1.2.3. Without sources; 1.2.4. Acoustic intensity and source power; 1.2.5. Acoustic impedance and border conditions; 1.3. Constants, units and magnitude orders of linear acoustics; 1.4. Acoustic velocity measurement and applications; 1.4.1. Velocity estimation from pressure gradient
1.4.2. Intensity estimation 1.4.3. Application to impedance estimation; 1.5. Beyond linear equations; 1.5.1. Acoustic equations with mean flow; 1.5.2. High acoustic displacement; 1.5.3. Acoustic streaming; 1.6. Bibliography; Chapter 2. Some Topics On Signal Processing; 2.1. Measurement signal; 2.1.1. Random signals; 2.1.2. Statistical averages; 2.1.3. Time averages; 2.1.4. Acoustic signal model; 2.2. Reminder of Fourier analysis tools; 2.2.1. Fourier transform; 2.2.2. Uniform sampling and recovery of signals; 2.2.3. Fourier transform of discrete signals; 2.2.4. Discrete Fourier transform
2.3. Correlations and spectra 2.3.1. Definitions; 2.3.2. Stationary and ergodic process; 2.3.3. Properties of correlation functions and examples; 2.3.4. PSD and cross-spectral density properties; 2.4. Basis of estimation theory; 2.4.1. Definition and properties of an estimation method; 2.4.2. Mean estimator; 2.4.3. Correlation estimators; 2.4.4. Spectrum estimators; 2.4.5. Spectrum estimator by synchronous detection approach; 2.5. Non-uniform sampling; 2.5.1. Poisson processes; 2.5.2. Empirical estimators; 2.5.3. Comparison of spectrum estimation of random sampling sequences; 2.6. Bibliography
2.7. Appendix 2.7.1. Properties of the Fourier transform; 2.7.2. Fourier transforms of typical functions; 2.7.3. Properties of the discrete Fourier transform (DFT); Chapter 3. Ldv For Acoustics; 3.1. Bases of LDV; 3.1.1. Optical principles; 3.1.2. Signal processing of burst analyses in the context of fluid mechanics; 3.2. Models for acoustics; 3.2.1. Model of the Doppler signal; 3.2.2. Model of the sampling in the context of acoustics; 3.2.3. Case of low acoustic displacement with few mean flows; 3.2.4. Case of high acoustic displacement with few mean flows; 3.2.5. Other cases
3.3. Estimation method for low acoustic displacement 3.3.1. Theoretical limitations; 3.3.2. Estimation methods based on IF detection; 3.3.3. Estimation based on parametrical models; 3.3.4. Simultaneous detection of flow velocity and small acoustic velocity; 3.3.5. Comparison between methods for low-level acoustics; 3.4. Estimation method for high displacement; 3.4.1. Experimental condition; 3.4.2. Theoretical limitations; 3.4.3. Estimation for SPP; 3.4.4. Estimation for highly NSPP; 3.5. Bibliography; Chapter 4. Piv For Acoustics; 4.1. Principle of PIV; 4.1.1. Setting up
4.1.2. Model of the 2D signal and image processing
Record Nr. UNINA-9910819717303321
Valière Jean-Christophe  
London, England ; ; Hoboken, New Jersey : , : ISTE Ltd : , : John Wiley & Sons, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui